Gulmina Malik

Resilient Anomaly Detection in Fiber-Optic Networks: A Machine Learning Framework for Multi-Threat Identification Using State-of-Polarization Monitoring

Gulmina Malik, Imran Chowdhury Dipto, Muhammad Umar Masood, Mashboob Cheruvakkadu Mohamed, Stefano Straullu, Sai Kishore Bhyri, et al.

We present a thorough machine-learning framework based on real-time state-of-polarization (SOP) monitoring for robust anomaly identification in optical fiber networks. We exploit SOP data under three different threat scenarios: (i) malicious or critical vibration events, (ii) ove…Read more

Reinforcement Learning to Enhance Digital Twin-Based EDFA Fault Prediction in Optical Networks

Mashboob Cheruvakkadu Mohamed, Renato Ambrosone, Muhammad Umar Masood, Gulmina Malik, Stefano Straullu, Antonino Nespola, et al.